Artificial intelligence in healthcare

Abstract

In recent years, enhanced artificial intelligence algorithms and more access to training data have enabled artificial intelligence to augment or supplant certain functions of physicians. Nonetheless, the interest of diverse stakeholders in the application of artificial intelligence in medicine has not resulted in extensive acceptance. Numerous experts have indicated that a primary cause for the limited adoption is the lack of openness surrounding certain artificial intelligence algorithms, particularly black-box algorithms. Clinical medicine, particularly evidence-based practice, depends on transparency in decision-making. If there is no medically explicable artificial intelligence and the physician cannot adequately elucidate the decision-making process, the patient's trust in them will diminish. To resolve the transparency concern associated with specific artificial intelligence models, explainable artificial intelligence has arisen.

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